標(biāo)題: Titlebook: German-Japanese Interchange of Data Analysis Results; Wolfgang Gaul,Andreas Geyer-Schulz,Akinori Okada Conference proceedings 2014 Springe [打印本頁(yè)] 作者: exposulate 時(shí)間: 2025-3-21 16:39
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作者: Enteropathic 時(shí)間: 2025-3-22 00:00
Examining Intelligence-Led Policingetermine a suitable (hopefully optimum) clustering by statistical tools like maximum likelihood and optimization algorithms. In particular, we will consider models with class-specific Gaussian processes and Markov chains.作者: 意外 時(shí)間: 2025-3-22 02:42 作者: 集合 時(shí)間: 2025-3-22 05:07 作者: 使高興 時(shí)間: 2025-3-22 09:02 作者: adhesive 時(shí)間: 2025-3-22 14:28
Model-Based Clustering Methods for Time Seriesetermine a suitable (hopefully optimum) clustering by statistical tools like maximum likelihood and optimization algorithms. In particular, we will consider models with class-specific Gaussian processes and Markov chains.作者: adhesive 時(shí)間: 2025-3-22 21:03 作者: instulate 時(shí)間: 2025-3-22 21:25
Analysis of Asymmetric Relationships Among Soft Drink Brandsnds along each dimension, and the inward tendency, which represents the strength of switching to a corresponding brand from the other brands along each dimension. The solution disclosed that the differences between diet and non-diet brands as well as between cola and lemon-lime brands played important roles in the brand switching.作者: Harrowing 時(shí)間: 2025-3-23 04:43 作者: 致詞 時(shí)間: 2025-3-23 06:50 作者: 對(duì)手 時(shí)間: 2025-3-23 10:55 作者: 輕而薄 時(shí)間: 2025-3-23 14:52 作者: 節(jié)省 時(shí)間: 2025-3-23 18:28
Examples in Parametric Inference with Rr and share several commonalities. By developing a conceptual link between the two approaches, we provide new insights that help to decide which of the two alternatives is to be preferred under what conditions.作者: Fecundity 時(shí)間: 2025-3-24 00:58 作者: 能得到 時(shí)間: 2025-3-24 04:13
Non-additive Utility Functions: Choquet Integral Versus Weighted DNF Formulasr and share several commonalities. By developing a conceptual link between the two approaches, we provide new insights that help to decide which of the two alternatives is to be preferred under what conditions.作者: 嘲弄 時(shí)間: 2025-3-24 10:08
Energy Deposition by X-Rays and Electrons,hree-way clustering, their algorithms are based on complicated assumptions.We propose three-mode subspace clustering based on entropy weights. The proposed algorithm excludes complicated assumptions and provides results that can be easily interpreted.作者: HEW 時(shí)間: 2025-3-24 12:52
Three-Mode Hierarchical Subspace Clustering with Noise Variables and Occasionshree-way clustering, their algorithms are based on complicated assumptions.We propose three-mode subspace clustering based on entropy weights. The proposed algorithm excludes complicated assumptions and provides results that can be easily interpreted.作者: 是他笨 時(shí)間: 2025-3-24 15:41
Model-Based Clustering Methods for Time Seriesumber . of clusters . each one comprising time series with a ‘similar’ structure. Classical approaches might typically proceed by first computing a dissimilarity matrix and then applying a traditional, possibly hierarchical clustering method. In contrast, here we will present a brief survey about va作者: LIMN 時(shí)間: 2025-3-24 20:39
The Randomized Greedy Modularity Clustering Algorithm and the Core Groups Graph Clustering Schemeas been shown to be NP-hard, a large number of heuristic modularity maximization algorithms have been developed. In the 10th DIMACS Implementation Challenge of the Center for Discrete Mathematics & Theoretical Computer Science (DIMACS) for graph clustering our core groups graph clustering scheme com作者: Decongestant 時(shí)間: 2025-3-25 01:23
Comparison of Two Distribution Valued Dissimilarities and Its Application for Symbolic Clusteringts application software. We need to aggregate and then analyze those datasets. Symbolic Data Analysis (SDA) was proposed by E. Diday in 1980s (Billard L, Diday E (2007) Symboic data analysis. Wiley, Chichester), mainly targeted for large scale complex datasets. There are many researches of SDA with 作者: 青春期 時(shí)間: 2025-3-25 05:24 作者: Organization 時(shí)間: 2025-3-25 10:56 作者: TEM 時(shí)間: 2025-3-25 15:12 作者: 接觸 時(shí)間: 2025-3-25 16:57
Structural Representation of Categorical Data and Cluster Analysis Through Filterseudo-numerical representation such as Likert-type scoring. This aspect is first explained, and then we turn our attention to the analysis of nominally represented data. For the analysis of a large number of variables, one typically resorts to dimension reduction, and its necessity is often greater w作者: musicologist 時(shí)間: 2025-3-25 21:53 作者: 殺蟲(chóng)劑 時(shí)間: 2025-3-26 03:39 作者: atopic-rhinitis 時(shí)間: 2025-3-26 05:41 作者: 神圣在玷污 時(shí)間: 2025-3-26 10:20 作者: synchronous 時(shí)間: 2025-3-26 12:48 作者: 完成才能戰(zhàn)勝 時(shí)間: 2025-3-26 20:03
Analysis of Asymmetric Relationships Among Soft Drink Brandsrix is inevitably asymmetric, because the relationship from brand . to brand . is not necessarily equal to the relationship from brand . to brand .. The brand switching matrix was analyzed by asymmetric multidimensional scaling based on singular value decomposition. The four-dimensional result was c作者: 夜晚 時(shí)間: 2025-3-26 21:08 作者: 傳授知識(shí) 時(shí)間: 2025-3-27 04:54 作者: 不怕任性 時(shí)間: 2025-3-27 07:25 作者: 溫順 時(shí)間: 2025-3-27 11:00 作者: LEVY 時(shí)間: 2025-3-27 15:18
Examining Intelligence-Led Policingumber . of clusters . each one comprising time series with a ‘similar’ structure. Classical approaches might typically proceed by first computing a dissimilarity matrix and then applying a traditional, possibly hierarchical clustering method. In contrast, here we will present a brief survey about va作者: blackout 時(shí)間: 2025-3-27 17:50
https://doi.org/10.1007/978-3-030-69452-4as been shown to be NP-hard, a large number of heuristic modularity maximization algorithms have been developed. In the 10th DIMACS Implementation Challenge of the Center for Discrete Mathematics & Theoretical Computer Science (DIMACS) for graph clustering our core groups graph clustering scheme com作者: 脫水 時(shí)間: 2025-3-27 23:20 作者: 羊欄 時(shí)間: 2025-3-28 03:59 作者: orient 時(shí)間: 2025-3-28 08:22 作者: 高興去去 時(shí)間: 2025-3-28 13:02 作者: BRACE 時(shí)間: 2025-3-28 17:10
Teaching Out-of-Field Internationallyeudo-numerical representation such as Likert-type scoring. This aspect is first explained, and then we turn our attention to the analysis of nominally represented data. For the analysis of a large number of variables, one typically resorts to dimension reduction, and its necessity is often greater w作者: 可卡 時(shí)間: 2025-3-28 19:20
Energy Deposition by X-Rays and Electrons,s an initial analysis, a clustering algorithm is applied to the data. However, traditional clustering algorithms cannot factor in the effects of occasions. In addition, it is difficult to understand these typically high-dimensional data. Although Vichi et al. (J Classif 24(1):71–98, 2007) proposed t作者: 多嘴 時(shí)間: 2025-3-28 23:55
https://doi.org/10.1007/978-0-85729-380-0J Mark Res 32:152–162, 1995, 35:384–389, 1998; Baier and Polasek, Stud Classif Data Anal Knowl Organ 22:413–421, 2003; Otter et al., Int J Res Mark 21(3):285–297, 2004). Comparisons have shown that these new methods compete well with the traditional ones where latent classes are used for this purpos作者: 送秋波 時(shí)間: 2025-3-29 06:39 作者: Obstreperous 時(shí)間: 2025-3-29 10:29
Material properties of soft soils,s among three or more objects, but instead, those between two objects. However, there exist some approaches for analyzing one-mode three-way asymmetric proximity data that represent triadic relationships among three objects. Nonetheless, a method that evaluates the asymmetry of one-mode three-way as作者: Organonitrile 時(shí)間: 2025-3-29 12:45 作者: 粗俗人 時(shí)間: 2025-3-29 17:22 作者: Obstreperous 時(shí)間: 2025-3-29 20:31 作者: 最有利 時(shí)間: 2025-3-30 01:10
Berechnungen aus der Elektrotechnik,NDSCAL model, which assumes that the objects are embedded in a discrete or continuous space common to all data, including individual differences obtained by weighting each dimension. We apply some effective dynamic graphical approaches using two methods to perform a time-space structural analysis fo作者: 引水渠 時(shí)間: 2025-3-30 06:59 作者: obstinate 時(shí)間: 2025-3-30 09:46
Wolfgang Gaul,Andreas Geyer-Schulz,Akinori OkadaFocuses on the interface between Data Analysis and Computer Science.Presents innovative methods and results for many data analysis problems.Offers applications from a wide area of disciplines?.Include作者: terazosin 時(shí)間: 2025-3-30 16:18 作者: 頌揚(yáng)本人 時(shí)間: 2025-3-30 18:18
German-Japanese Interchange of Data Analysis Results978-3-319-01264-3Series ISSN 1431-8814 Series E-ISSN 2198-3321 作者: LATHE 時(shí)間: 2025-3-31 00:18
https://doi.org/10.1007/978-3-030-69452-4gorithm is a non-deterministic agglomerative hierarchical clustering approach which finds locally optimal solutions. In this contribution we analyze the similarity of the randomized greedy modularity algorithm with incomplete solvers for the satisfiability problem and we establish an analogy between作者: arabesque 時(shí)間: 2025-3-31 03:16 作者: 頑固 時(shí)間: 2025-3-31 08:47 作者: 出處 時(shí)間: 2025-3-31 11:25 作者: adequate-intake 時(shí)間: 2025-3-31 14:34
Teaching Out-of-Field Internationallyscaling (Carroll JD, Green PE, Schaffer CM (1986) J Mark Res 23(3):271–280). The current paper will then introduce a simple procedure for the analysis of a hyper-dimensional configuration of data, called cluster analysis through filters. A numerical example will be presented to show a clear contrast作者: peak-flow 時(shí)間: 2025-3-31 20:34
https://doi.org/10.1007/978-0-85729-380-0, 2002b; Moore, Int J Res Mark 21:299–312, 2004; Karniouchina et al., Eur J Oper Res 19(1):340–348, 2009, with comparative results). However, the question is still open whether this superiority still holds when the latent class approach is combined with the Bayesian one. This paper responds to this 作者: Pulmonary-Veins 時(shí)間: 2025-4-1 00:40